Our research spans several interconnected areas:

Cancer Immunotherapy Biomarkers

Mining multi-omics data to spot biomarkers that flag immunotherapy responders, then packaging those signals into clinical assays for patient selection and combo dosing.

Cancer Genomics Software & Databases

Shipping open-source algorithms, containerized workflows and curated databases that let the community reproduce and extend large-scale cancer genomics studies.

Targeted Therapy Strategies for GI Cancers

Scanning exome, transcriptome and drug-screen datasets to surface druggable lesions in GI tumors, mapping trials to the right inhibitors and tracing resistance with real-time liquid biopsies.

Machine Learning for Cancer Diagnosis & Prognosis

Training lightweight models on pathology images, radiology scans and routine labs to flag early-stage tumors, forecast survival and explain calls in clinician-friendly heat-maps.

Gut Microbiota & Tumor Microenvironment

Tracking gut-bug shifts during ICI treatment, testing causality in germ-free models and crafting next-gen probiotics that sharpen anti-tumor immunity.